--- title: "CI/CD Automation Agents" description: "Agents that fix pipelines, rerun flaky tests, manage release gates, and handle rollout steps across delivery." url: https://www.callstack.com/services/ci-cd-automation-agents updated: 2026-11-06T10:08:54.793Z --- # CI/CD Automation Agents Agents that fix pipelines, rerun flaky tests, manage release gates, and handle rollout steps across delivery. _[Agentic Delivery](/agentic-delivery) › [Custom Agents](/capabilities/custom-agents)_ **Pipelines that fix themselves** Every red build waits for a human. We deploy agents across your delivery workflow that diagnose pipeline failures, rerun what is flaky, fix what is broken, and keep releases moving without babysitters. [Build custom agents](#contact) · [How it works](#what-you-get) ## Custom Agents - 3x Delivery acceleration · 80% Effort executed by agents - Industry runs on our tooling · 50M+ OSS downloads / month - 3.7× Lower task cost vs Opus 5.5 - Built on Agent Device. · T3 · Shopify · Tester Army · Agent Device - React Foundation Founding Member · 300+ commits to React Native · Contributing since 2016 - 100+ Enterprise projects delivered - ISO 27001 certified ## What you get: Delivery that runs unattended. - **Failure diagnosis** Failed builds triaged automatically: root cause identified, not just a red X. - **Self-healing fixes** Common breakage - caches, signing, environment drift - repaired by agents with an audit trail. - **Flake management** Flaky tests detected, quarantined, and reported instead of blocking merges. - **Release gate automation** Checks, approvals, and evidence collected automatically at each stage. - **Rollout orchestration** Staged rollouts advanced or halted on health signals. - **Escalation rules** Humans paged only when judgment is needed, with full context attached. **Keep delivery moving without babysitters.** Agents watch, fix, and escalate across the pipeline, so engineers stay on product work. [Build custom agents](#contact) ## Scope → Build → Scale: Build agents into repeatable workflows. ### Scope (1 WEEK) We select a product workflow, define where agents act, and agree the controls and success measures. - Workflow and owners defined - Baseline and controls agreed - Token budgets confirmed ### Build (1-12 MONTHS) We connect context, agents, and verification to your tools, then run the workflow on your product backlog. - Running on your product backlog - Speed and quality measured - Business impact validated ### Scale (AS NEEDED) We document the workflow, transfer ownership, and extend it across teams and products based on results. - Your team owns the workflow - Expand based on results - Full knowledge handover ## What shipping at AI speed looks like. - [Building an Agentic SDLC for a Web Launch in Under One Month](/case-studies/building-an-agentic-sdlc-for-a-web-launch-in-under-one-month): 3x estimated delivery acceleration **Keep delivery moving without babysitters.** Agents watch, fix, and escalate across the pipeline, so engineers stay on product work. [Build custom agents](#contact) > Their engineers proved to be a crucial part of our mobile app relaunch project. > > — Brian Aznar, Engineering Director / Major League Soccer We’ll connect you with the right expert within 24 hours. ## Let’s find the right path for your product. Still have questions? Whether you’re planning new work or unblocking an existing product, we’ll help you choose the right path forward. **Which CI systems do you support?** GitHub Actions, GitLab CI, Jenkins, Bitrise, CircleCI, and self-hosted stacks. The agents operate through APIs and runners, not by replacing your CI. **Can agents merge or deploy on their own?** Only within the permissions you define. Typical setups allow autonomous retries and infrastructure fixes, with human approval on merges and production rollouts. **What if an agent applies a wrong fix?** Every action is logged, reversible, and PR-based where code changes. Wrong fixes surface immediately in validation - the same gate human fixes go through. **Does this work with on-prem CI?** Yes. Agents run inside your network against self-hosted CI, which pairs naturally with our self-hosted infrastructure work. **What improves, measurably?** Mean time to green, queue time, and engineer interruptions per week. We baseline before rollout, so the delta is visible. **How long does setup take?** First agents land on your noisiest failure classes within weeks, then coverage expands based on what the diagnosis data shows. [Book consultation](#contact) ## Open source - [Agent Device](https://agent-device.dev/): CLI to control iOS and Android devices for AI agents - [Agent React DevTools](https://github.com/callstackincubator/agent-react-devtools): Gives AI agents access to React DevTools - [Agent Skills](https://github.com/callstackincubator/agent-skills): Callstack’s best practices on React Native performance optimization, upgrading, CI workflows, and brownfield migrations - [React Native AI](https://github.com/callstackincubator/ai): On-device LLM execution in React Native with Vercel AI SDK compatibility - [Skill Gym](https://incubator.callstack.com/skillgym/): Prove your agent skills work before you ship them Insights ## Worth your time, by engineers. [Explore Insights](https://www.callstack.com/insights) - [Building Vault: A Dual-Screen Terminal for Self-Hosted AI Agents](https://www.callstack.com/blog/building-vault-a-dual-screen-terminal-for-self-hosted-ai-agents) (Jul 22 · Article): Vault is a dual-screen handheld terminal for controlling AI agents and locally hosted LLMs from a purpose-built device. This article explains how the prototype combines an ESP32-S3, OLED, and e-paper display with an OpenClaw agent and gpt-oss-120b served on a LAN host through TensorRT-LLM. It covers the interface architecture that separates live task status from completed output, the Python broker that keeps inference off the device, the hardware failures that shaped the build, and the security limits of remote command execution. - [Building Mobile QA Agents With Vercel Eve](https://www.callstack.com/blog/building-reviewable-mobile-qa-agents-with-vercel-eve) (Jun 19 · Article): This article walks through migrating a mobile QA agent from a single AI SDK tool loop to Vercel Eve. It shows how Eve’s filesystem-first structure, typed tools, and durable sessions make agent behavior easier to inspect, review, and maintain inside EAS Workflows. - [5 Lessons From Vibe Coding Before You Ship with AI](https://www.callstack.com/blog/5-lessons-from-vibe-coding-before-you-ship-with-ai) (Jun 10 · Article): AI agents can turn an app idea into working code in hours. They can also overbuild simple features, miss your architecture, and quietly run up cost. In this article, Hristo Totov breaks down five practical lessons for using AI agents with better prompts, better feedback loops, and better engineering judgment. - [Agencies or Swarms? What Small Model Cooperation Means for AI Engineering](https://www.callstack.com/blog/agencies-or-swarms-what-small-model-cooperation-means-for-ai-engineering) (May 21 · Article): Agentic systems may not depend only on larger models. This article examines how swarms of smaller models behave under load and what that means for distributed inference, concurrency, and infrastructure design. - [Agents Commander: A Lightweight Interface for Multi-Agent CLI Workflows](https://www.callstack.com/blog/agents-commander-a-lightweight-interface-for-multi-agent-cli-workflows) (Apr 1 · Article): Agents Commander introduces a practical way to manage multi-agent environments directly in the CLI. With a minimal communication protocol, it enables agents to collaborate without complex infrastructure or rigid APIs. - [Giving AI The Keys to Your App: Agents Controlling UI State](https://www.callstack.com/blog/giving-ai-the-keys-to-your-app-agents-controlling-ui-state) (Feb 4 · Article): This project shows how to let AI agents control UI state in React apps using Jotai and Flows-AI. By moving logic outside components, agents can autonomously update the UI based on prompts and context to enable smarter, automated workflows. - [Flows AI: Your Library for Building AI Workflows on Top of Vercel AI SDK](https://www.callstack.com/blog/flows-ai-your-library-for-building-ai-workflows-on-top-of-vercel-ai-sdk) (Jan 22 · Article): Flows AI is a lightweight library for building AI agent workflows on top of Vercel AI SDK. It provides a simple, flexible way to orchestrate agents as async functions, with built-in control flow agents for parallel execution and composing flows. - [Building AI Agent Workflows With Vercel’s AI SDK: A Practical Guide](https://www.callstack.com/blog/building-ai-agent-workflows-with-vercels-ai-sdk-a-practical-guide) (Jan 17 · Article): Building AI agent workflows doesn't have to be complex. This practical guide walks through how to use Vercel's AI SDK to create chained, routed, parallel, and evaluator-optimizer workflows step-by-step, with code examples you can try yourself. - [MCP and Supervisor Agents in eBay's Monitoring Workflow With Leonel Candido da Silva](https://www.callstack.com/podcasts/mcp-and-supervisor-agents-in-ebays-monitoring-workflow-with-leonel-candido-da-silva) (Oct 13 · Podcast): Leonel Candido da Silva explains eBay's agentic monitoring workflow: specialized agents, MCP, PagerDuty reports, and plans to learn from past incidents. - [State Machines for AI Agents With David Khourshid](https://www.callstack.com/podcasts/state-machines-for-ai-agents-with-david-khourshid) (Oct 12 · Podcast): David Khourshid explains state machines for AI agents, human approval steps, tracing, and handling invalid model outputs in agent workflows. - [Inside Cursor, Colossus, and Grok Bot With Nick Miller](https://www.callstack.com/podcasts/inside-cursor-colossus-and-grok-bot-with-nick-miller) (Oct 12 · Podcast): Nick Miller explains Cursor's move to SpaceXAI, how Colossus changed model training, and the browser experience behind Grok Bot. - [Building a Custom AI Assistant for Your Business](https://www.callstack.com/podcasts/building-a-custom-ai-assistant-for-your-business) (Nov 25 · Podcast): Learn what it takes to build a custom AI-powered chatbot for your company, including the challenges, solutions, performance, and security considerations. - [From Design to Shipped: A Modern App Development Meetup](https://www.callstack.com/events/from-design-to-shipped-a-modern-app-development-meetup) (Oct 22 · Meetup): Join Callstack, JetBrains, and Expo in Amsterdam on October 22 for talks on AI agents, UI development, and verification across web and mobile. - [Graph Agentic Coding Extends AI Workflows](https://www.callstack.com/events/how-graph-agentic-coding-extends-ai-workflows) (Aug 27 · Live Stream): How connected state, retrieval, memory, and verification carry coding agents across complex, multi-step workflows. Kewin Wereszczyński and Lech Kalinowski discuss the structures that let agents plan, retrieve context, use tools, and keep working across longer tasks. - [Beyond Coding Agents: Making ADLC Work Across Platforms](https://www.callstack.com/events/beyond-coding-agents-making-adlc-work-across-platforms) (Nov 16 · Talk): Mike Grabowski will explain how to close the full agentic development lifecycle across mobile, web, and native platforms. - [How We Built a React Native News Agent With Eve](https://www.callstack.com/events/build-a-react-native-news-agent-with-eve) (Jul 30 · Live Stream): See how we built and deployed an Eve agent that tracks React and React Native repositories, filters commit noise, and publishes daily Slack updates. - [Agent Conf](https://www.callstack.com/events/agent-conf) (Sep 17 · Conference): Join 500+ engineers in Warsaw Sept 17-18 2026 for Agent Conf. Learn agentic development, orchestration, and AI-driven workflows. - [AI for the Other Parts of Your Technical Job](https://www.callstack.com/events/ai-for-the-other-parts-of-your-technical-job) (Sep 2 · Talk): Stop fitting your workflow into off-the-rack tools. Learn to build your own AI-powered solutions, including a custom slide generator and a collaborative developer notebook.